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Approaches to prioritising research for clinical trial networks: a scoping review
Rachael L Morton1, Haitham Tuffaha2, Vendula Blaya-Novakova3
1National Health and Medical Research Council Clinical Trials Centre (NHMRC CTC), University of Sydney, Sydney, Australia. rachael.morton@sydney.edu.au.
Background:
Prioritisation of clinical trials ensures that the research conducted meets the needs of stakeholders, makes the best use of resources and avoids duplication. The aim of this review was to identify and critically appraise approaches to research prioritisation applicable to clinical trials, to inform best practice guidelines for clinical trial networks and funders.
Methods:
A scoping review of English-language published literature and research organisation websites (January 2000 to January 2020) was undertaken to identify primary studies, approaches and criteria for research prioritisation. Data were extracted and tabulated, and a narrative synthesis was employed.
Results:
Seventy-eight primary studies and 18 websites were included. The majority of research prioritisation occurred in oncology and neurology disciplines. The main reasons for prioritisation were to address a knowledge gap (51 of 78 studies [65%]) and to define patient-important topics (28 studies, [35%]). In addition, research organisations prioritised in order to support their institution's mission, invest strategically, and identify best return on investment. Fifty-seven of 78 (73%) studies used interpretative prioritisation approaches (including Delphi surveys, James Lind Alliance and consensus workshops); six studies used quantitative approaches (8%) such as prospective payback or value of information (VOI) analyses; and 14 studies used blended approaches (18%) such as nominal group technique and Child Health Nutritional Research Initiative. Main criteria for prioritisation included relevance, appropriateness, significance, feasibility and cost-effectiveness.
Conclusion:
Current research prioritisation approaches for groups conducting and funding clinical trials are largely interpretative. There is an opportunity to improve the transparency of prioritisation through the inclusion of quantitative approaches.
Insights
Prioritizing clinical trials ensures efficient research by addressing knowledge gaps and patient needs. Incorporating quantitative methods can enhance the transparency of current interpretative prioritization approaches.
Area of Science:
- Clinical research methodology
- Health services research
- Evidence-based medicine
Background:
- Effective clinical trial prioritization is crucial for meeting stakeholder needs, optimizing resource allocation, and preventing research duplication.
- This review aimed to identify and evaluate research prioritization methods relevant to clinical trials.
- The goal was to inform best practice guidelines for clinical trial networks and funders.
Purpose of the Study:
- To identify and critically appraise existing research prioritization approaches for clinical trials.
- To inform the development of best practice guidelines for clinical trial networks and funders.
- To assess the methods and criteria used in clinical trial prioritization.
Main Methods:
- A comprehensive scoping review of published literature and research organization websites from January 2000 to January 2020.
- Inclusion of English-language studies and data from 78 primary studies and 18 websites.
- Data extraction, tabulation, and narrative synthesis to analyze prioritization approaches and criteria.
Main Results:
- Research prioritization predominantly occurred in oncology and neurology, driven by knowledge gaps (65%) and patient-important topics (35%).
- Interpretative approaches (e.g., Delphi, consensus workshops) were most common (73%), followed by blended (18%) and quantitative (8%) methods.
- Key prioritization criteria included relevance, appropriateness, significance, feasibility, and cost-effectiveness.
Conclusions:
- Current clinical trial prioritization methods are predominantly interpretative.
- There is a significant opportunity to enhance the transparency of prioritization processes by integrating quantitative approaches.
- Improved transparency in prioritization can lead to more robust and impactful clinical trial strategies.
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